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[JSP/Java] C4.5 DL : 0: C4.5算法有如下优点：产生的分类规则易于理解，准确率较高。其缺点是：在构造树的过程中，需要对数据集进行多次的顺序扫描和排序，因而导致算法的低效。此外，C4.5只适合于能够驻留于内存的数据集，当训练集大得无法在内存容纳时程序无法运行。-C4.5 algorithm has the following advantages: the classification rules easier to understand, accurate and a higher rate. Its shortcomings are as follows: in the tree structure, the need for a number of data sets the order of scanning and sorting, thus leading to inefficient algorithms. In addition, C4.5 can only be applied to the presence of a data set in memory, when the training set too great to accommodate in memory when the program can not run.
Update : 2025-02-19 Size : 1kb Publisher : xinyuanwo
[Data structs] c4.5matlab DL : 0: c4.5 关于决策树decision tree的matlab实现程序 -c4.5 decision tree decision tree on the realization of the matlab program
Update : 2025-02-19 Size : 4kb Publisher : 凌风
[JSP/Java] NeC45 DL : 0: 一个java 写的C4.5程序，非常棒，不过要调用WEKA，懂数据挖掘的人应该都了解。分享一下-C4.5 write a java program, great, but to call WEKA, people who understand data mining should be all about. Share
Update : 2025-02-19 Size : 8kb Publisher : Lei Wang
[matlab] C4_5 DL : 0: 一种关于c4.5的简单matlab编程。-A kind of simple matlab program on c4.5.
Update : 2025-02-19 Size : 2kb Publisher : 妮子
[AI-NN-PR] Kode-Program-Algoritma-C4.5 DL : 0: C4.5 is an algorithm used to generate a decision tree. C4.5 is an extension of Quinlan s earlier ID3 algorithm. The decision trees generated by C4.5 can be used for classification, and for this reason, C4.5 is often referred to as a statistical classifier.
Update : 2025-02-19 Size : 2.39mb Publisher : bwindhya
[matlab] C4.5 DL : 0: Quinlan的决策树程序C4.5（M语言编写）-the program for decision tree C4.5 purposed by Quinlan
Update : 2025-02-19 Size : 3kb Publisher : change
[Other] matlabPBG DL : 0: matlab透射率随入射角变化的程序 na=2.10 nb=1.46 n1=1 n2=1 d=1064 for c5=0:0.5:90 c3=c5*pi/180 c1=asin(n1*sin(c3)/na) c2=asin(na*sin(c1)/nb) c4=asin(nb*sin(c2)/n2) d1=1064 a=d1/(4*na) b=d1/(4*nb) Ba=2*pi*na*a*cos(c1)/d Bb=2*pi*nb*b*cos(c2)/d f=4*pi*1e-7 e=1e-9/(36*pi) -matlab transmittance with the angle of incidence change program na = 2.10 nb = 1.46 n1 = 1 n2 = 1 d = 1064 for c5 = 0:0.5:90 c3 = c5* pi/180 c1 = asin ( n1* sin (c3)/na) c2 = asin (na* sin (c1)/nb) c4 = asin (nb* sin (c2)/n2) d1 = 1064 a = d1/(4* na ) b = d1/(4* nb) Ba = 2* pi* na* a* cos (c1)/d Bb = 2* pi* nb* b* cos (c2)/d f = 4* pi* 1e-7 e = 1e-9/(36* pi)
Update : 2025-02-19 Size : 10kb Publisher : 汪
[Other] DecisionTree DL : 0: C++编写的C4.5决策树程序，为数据挖掘基础算法。网址为:http://www.cnblogs.com/michaelGD/archive/2012/11/14/2770758.html-C++ written C4.5 decision tree program, the foundation for the data mining algorithms. Site at: http://www.cnblogs.com/michaelGD/archive/2012/11/14/2770758.html
Update : 2025-02-19 Size : 1.44mb Publisher : fy
[Program doc] CSDN DL : 0: 上传的是CSDN上下的有关代码。里面包含c4.5程序，ID3等相关源代码。这是很有用的代码。-Upload is about code CSDN bottom. Which contains c4.5 program, ID3 and other related source code. It is useful code.
Update : 2025-02-19 Size : 6.3mb Publisher : 礼胡洛
[Other] C4_5 DL : 0: 决策树C4.5程序设计，非常实用且方便，欢迎大家学习，借鉴。-C4.5 decision tree program design, very practical and convenient, welcome everyone to learn from.
Update : 2025-02-19 Size : 2kb Publisher : yanghongmei